Literature DB >> 8648605

CONCERTS: dynamic connection of fragments as an approach to de novo ligand design.

D A Pearlman1, M A Murcko.   

Abstract

We have implemented and tested a new approach to de novo ligand design, CONCERTS (creation of novel compounds by evaluation of residues at target sites). In this method, each member of a user-defined set of fragments is allowed to move independently about a target active site during a molecular dynamics simulation. This allows the fragments to sample various low-energy orientations. When the geometry between proximal fragments is appropriate, bonds can be formed between the fragments. In this fashion, larger molecules can be built. The bonding arrangement can subsequently be changed-breaking bonds between chosen fragment pairs and forming them between other pairs-if the overall process creates lower energy molecules. We have tested this method with various mixes of fragments against the active sites of the FK506 binding protein (FKBP-12) and HIV-1 aspartyl protease. In several cases, CONCERTS suggests ligands which are in surprisingly good agreement with known inhibitors of these proteins.

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Year:  1996        PMID: 8648605     DOI: 10.1021/jm950792l

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  21 in total

1.  DREAM++: flexible docking program for virtual combinatorial libraries.

Authors:  S Makino; T J Ewing; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

2.  A genetic algorithm for structure-based de novo design.

Authors:  S C Pegg; J J Haresco; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

3.  Predicting sequences and structures of MHC-binding peptides: a computational combinatorial approach.

Authors:  J Zen; H R Treutlein; G B Rudy
Journal:  J Comput Aided Mol Des       Date:  2001-06       Impact factor: 3.686

4.  Protein ligand docking based on empirical method for binding affinity estimation.

Authors:  P Tao; L Lai
Journal:  J Comput Aided Mol Des       Date:  2001-05       Impact factor: 3.686

5.  Further development and validation of empirical scoring functions for structure-based binding affinity prediction.

Authors:  Renxiao Wang; Luhua Lai; Shaomeng Wang
Journal:  J Comput Aided Mol Des       Date:  2002-01       Impact factor: 3.686

6.  A new method for estimating the importance of hydrogen-bonding groups in the binding site of a protein.

Authors:  Matthew D Kelly; Ricardo L Mancera
Journal:  J Comput Aided Mol Des       Date:  2003-07       Impact factor: 3.686

7.  De novo ligand design with explicit water molecules: an application to bacterial neuraminidase.

Authors:  Ricardo L Mancera
Journal:  J Comput Aided Mol Des       Date:  2002-07       Impact factor: 3.686

Review 8.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

Review 9.  From laptop to benchtop to bedside: structure-based drug design on protein targets.

Authors:  Lu Chen; John K Morrow; Hoang T Tran; Sharangdhar S Phatak; Lei Du-Cuny; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

10.  iScreen: world's first cloud-computing web server for virtual screening and de novo drug design based on TCM database@Taiwan.

Authors:  Tsung-Ying Tsai; Kai-Wei Chang; Calvin Yu-Chian Chen
Journal:  J Comput Aided Mol Des       Date:  2011-06-07       Impact factor: 3.686

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